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Config-driven helpers for Python projects (dynamic config, secure secrets, preset logging, and more…)

Project description

Kstlib Logo

Config-driven Python toolkit for resilient applications

CI Documentation PyPI Python License


kstlib is a personal Python toolkit built over 7 years of learning and experimentation.

It started as a way to explore Python best practices, evolved into utilities for personal automation, and now serves as the foundation for study projects in algorithmic trading and market analysis.

The focus has always been on building resilient, secure, and performant systems.

Note: Everything works via Python, but since kstlib is heavily config-driven, the Examples Gallery showcases a YAML-first approach.

Core Modules

Module Purpose
config Cascading config files, includes, SOPS encryption, Box access
secrets Multi-provider resolver (env, keyring, SOPS, KMS) with guardrails
logging Rich console, rotating files, TRACE level, structlog integration
auth OIDC/OAuth2 with PKCE, token storage, auto-refresh
mail Jinja templates, transports (SMTP, Gmail API, Resend, AWS SES)
alerts Multi-channel (Slack, Email), throttling, severity levels
websocket Resilient connections, auto-reconnect, heartbeat, watchdog
rapi Config-driven REST client with HMAC signing
pipeline Declarative sequential workflows (shell/python/callable steps), error policies, conditional execution
monitoring Collectors + Jinja rendering + delivery (file, mail)
resilience Circuit breaker, rate limiter, graceful shutdown
ops Session manager (tmux), containers (Docker/Podman)
helpers TimeTrigger, formatting, secure delete, validators

Quick Start

Installation

pip install kstlib

Basic Usage

from kstlib.config import load_from_file
from kstlib import cache

config = load_from_file("config.yml")

@cache(ttl=300)
def expensive_computation(x: int) -> int:
    return x ** 2

result = expensive_computation(5)

Minimal Configuration

app:
  name: "My Application"
  debug: true

database:
  host: "localhost"
  port: 5432

Documentation

Full documentation available at kstlib.readthedocs.io

Installation Options

# Standard install
pip install kstlib

# With uv (faster)
uv pip install kstlib

# Development install
pip install "kstlib[dev]"

# All extras
pip install "kstlib[all]"

# From GitHub (latest)
pip install "git+https://github.com/KaminoU/kstlib.git"

License

MIT License - Copyright 2025 Michel TRUONG

See LICENSE for full text.

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